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On the multi-agent stochastic simulation of occupants in buildings

Chapman, Jacob; Siebers, Peer-Olaf; Robinson, Darren


Jacob Chapman

Darren Robinson


This paper introduces a new general platform for the simulation of occupants’ presence and behaviours. Called No-MASS
(Nottingham Multi-Agent Stochastic Simulation), this generates a synthetic population of agents, predicts their presence and,
in the case of residences also their activities and inferred locations, as well as their use of windows, lights and blinds. Using
the Functional Mockup Interface, No-MASS is coupled with EnergyPlus: EnergyPlus parses environmental parameters to
No-MASS which in turn parses back the energetic consequences of agents’ behaviours. After describing the architecture of
No-MASS and the form of the integrated models, we demonstrate its utility through two use cases: a house and an office.We
close by outlining how No-MASS has been extended to more comprehensively simulate the behaviours of agents occupying
multiple buildings, including behaviours for which data is scarce, social interactions between agents, and a generalization
of No-MASS to simulate electrical devices and their interactions.


Chapman, J., Siebers, P., & Robinson, D. (2018). On the multi-agent stochastic simulation of occupants in buildings. Journal of Building Performance Simulation, 11(5), 604-621.

Journal Article Type Article
Acceptance Date Dec 11, 2017
Online Publication Date Feb 8, 2018
Publication Date Feb 8, 2018
Deposit Date Jan 5, 2019
Journal Journal of Building Performance Simulation
Print ISSN 1940-1493
Electronic ISSN 1940-1507
Publisher Routledge
Peer Reviewed Peer Reviewed
Volume 11
Issue 5
Pages 604-621
Keywords multi-agent; stochastic; behaviour; energy; simulation
Public URL
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Additional Information Peer Review Statement: The publishing and review policy for this title is described in its Aims & Scope.; Aim & Scope: